Preprint Technical Note Version 1 Preserved in Portico This version is not peer-reviewed

Radiometric Terrain Flattening of Geocoded Stacks of SAR Imagery

Version 1 : Received: 11 February 2023 / Approved: 14 February 2023 / Online: 14 February 2023 (04:21:05 CET)

A peer-reviewed article of this Preprint also exists.

Agram, P.S.; Warren, M.S.; Arko, S.A.; Calef, M.T. Radiometric Terrain Flattening of Geocoded Stacks of SAR Imagery. Remote Sens. 2023, 15, 1932. Agram, P.S.; Warren, M.S.; Arko, S.A.; Calef, M.T. Radiometric Terrain Flattening of Geocoded Stacks of SAR Imagery. Remote Sens. 2023, 15, 1932.

Abstract

We describe an efficient approach to radiometrically flatten geocoded stacks of calibrated synthetic aperture radar (SAR) data for terrain-related effects. We use simulation to demonstrate that, for the Sentinel-1 mission, one static radiometric terrain flattening factor derived from actual SAR imaging metadata per imaging geometry is sufficient for flattening interferometrically compliant stacks of SAR data. We quantify the loss of precision due to application of static flattening factors, and show that these are well below stated requirements of change detection algorithms. Finally, we discuss the implications of applying radiometric terrain flattening to geocoded SAR data instead of the traditional approach of flattening data provided in the original SAR image geometry. The proposed approach allows for efficient and consistent generation of five different Committee of Earth Observation Satellites (CEOS) Analysis Ready Dataset (ARD) families - Geocoded Single Look Complex (GSLC), Interferometric Radar (InSAR), Normalized Radar Backscatter (NRB), Polarimetric Radar (POL) and Ocean Radar Backscatter (ORB) from SAR missions in a common framework.

Keywords

SAR; RTC; Sentinel-1; GTC; ARD

Subject

Environmental and Earth Sciences, Remote Sensing

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